Effects of accreditation on United States and Canadian veterinary college libraries in the nineteenth and twentieth centuries
Bibliographic record
Abstract
OBJECTIVE: The authors' objective was to document the effects of evolving veterinary accreditation standards on the development of currently existing accredited US and Canadian veterinary school libraries in the late nineteenth and twentieth centuries. METHODS: We gathered historical standards that major veterinary accreditation agencies developed with respect to libraries and library services. Historical background on college libraries, their facilities, services, and personnel via surveys, literature searches, and archival documents was also collected. We then correlated the evolving standards with each library's development. RESULTS: There was a marked correlation between the prevailing accreditation standards and library development, particularly during the post-World War II era and through the mid-1980s. These impacts-which included new and separate facilities, hiring of professional librarians, and additional open hours-affected not only the twenty new developing veterinary schools, but also the libraries of the preexisting colleges. CONCLUSIONS: Professional veterinary accrediting standards were an important influence on the evolution of veterinary school libraries, particularly during the years of major growth in the number of new veterinary colleges in the United States and Canada. In the 1990s and beyond, both libraries and accreditation standards continue to evolve in response to changes in technology, economics, publishing methods, and more. This latter is a story yet to be told.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.009 | 0.014 |
| Science and technology studies | 0.015 | 0.012 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".